Applied Text Mining in Python
Completed by Thomas Frank Lautenbach
April 10, 2024
25 hours (approximately)
Thomas Frank Lautenbach's account is verified. Coursera certifies their successful completion of Applied Text Mining in Python
What you will learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you will gain
- Category: Unstructured Data
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Manipulation
- Category: Data Processing
- Category: Model Training
- Category: Feature Engineering
- Category: Python Programming
